Harmonisation and standardisation of data and processes in the mobility sector - Workshop No. 8 - BMDV
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Welcome to the workshop series
Data Innovations for Smart Mobility in Europe
Workshop No. 8
Harmonisation and standardisation of data and
processes in the mobility sector
Federal Ministry for Digital and Transport
Division DP 24
27.04.2022
Towards effective standards for
monitoring, data-informed safety
assessment and maintenance of
transport infrastructure
Prof.Dr.ir. Diego Allaix (TNO)
Context
Transport infrastructure is facing
major challenges due to ageing,
rapid growth of traffic loads and
natural and man-made resilience
threats.
Safety risks have become critical
in the recent years and manifested
in major disasters caused i.e. by
structural failures due to
maintenance deficiencies.
Optimal maintenance is only
possible with the right policies and
decisions enabled by timely and
accurate information.
Monitoring is recognized as
key enabler of optimal
maintenance strategies to be
applied for ensuring the safety of
the infrastructure.
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171
Content
• Principles of risk-based & data-informed life cycle management of existing structures
• Data-informed assessment of existing structures
• Principles of assessment of existing structures
• Treatment of uncertainties in data-informed assessment
• Best practice examples
• Data-informed decision-making in maintenance management
• Role of standardization in implementing monitoring, data-informed safety assessment and maintenance
for transport infrastructure
• Digitalization as enabling technology
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171
Risk-based & data-informed life cycle management
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171
Risk-based & data-informed life cycle management
SUBSTANTIAL COSTS OF
INTERVENTIONS on existing
EXISTING DETERIORATION MECHANISMS
are to be taken into account
structures in order to increase STRUCTURES
performance levels
Assessment assisted by
ADJUSTED β TARGET adequate models (incl. NLFEA)
PERFORMANCE LEVELS IN and reliability-based & semi-
ASSESSMENT TO BE CONSIDERED probabilistic verification
methods
TESTING, INSPECTION AND MONITORING
REMAINING WORKING LIFE and can be done in order to increase
REFERENCE PERIOD often smaller KNOWLEDGE LEVEL
than design life of 50 years
adjusted TREATMENT OF UNCERTAINTIES,
ADJUSTED REFERENCE PERIOD in BASIC VARIABLES DISTRIBUTION and
assessment to be considered UPDATED MODELS to be considered
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171
Data-informed assessment
Uncertainty treatment in structural assessment (partial safety factor format)
PDF
PDF
Material model
Load model
lk ld md mk
γf γm
rk
γM
ed γRd
γSd γF rd
ek
Action effects model Resistance model
Limit state evaluation
adopted form [M. Teichgäber, J. Köhler, D. Straub, Hidden safety in structural design codes, Engineering Structures, 2022]
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171
Best practices (example)
The data-informed service life prediction for fatigue in
orthotropic bridge decks
Potential use of data: improving understanding of steel
bridges behaviour and improving performance prediction
detection of fatigue cracks orthotropic bridge decks
early warning system
real-time prediction of fatigue service life
Field-lab fatigue service life prediction based on crack growth monitoring and modelling (NL)
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171
Best practices (example)
The traffic load information for optimized use and
maintenance of pavements and structures
Potential use of data: improving understanding of live
loads on infrastructure
Short-term: underpinning development of 'lighter' traffic
load model for specific objects
Medium-term: improved predictive traffic load models
for transport networks
Long-term: real time integration with digital twin models
Application of Loadmap and Bridge-WiM in field-lab Moerdijk (NL)
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171
Data-informed decision-making
ASSESSMENT LEVEL
ASSESSMENT
FLOW
INCLUDING
INFORMATION
FROM
INSPECTION
MONITORING
AND TESTING
DATA
COLLECTION
&
STORAGE
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171The role of standardization
Decision-making regarding
maintenance of infrastructure is
regulated on national and even on
infrastructure operators level.
The current guidelines largely
differ in how they include
condition information from
inspections and monitoring in
the evaluation of the likelihood
of risk events and in
prioritization of structures for
maintenance.
The experience form R&D and
best-practice are not
consistently interpreted and
implemented in different
European countries due to a lack
of coherent policies and gaps in
knowhow.
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171Standardization outlook
• New standard on structural monitoring
• decision-making regarding the design of the monitoring strategy
• effective use of monitoring data to produce useful and meaningful information relevant for
diagnostics of structures, safety assessment and maintenance approaches
• Further amendment to the existing Eurocodes on safety assessment taking into account
inspections, monitoring and testing
• full utilisation of structure-specific data in the safety assessment of existing structures
• assessment of actual safety through consideration of deterioration and damage by models
• better prediction of end-of-service life by appropriate choice of the safety framework
• New standard for risk-based maintenance management and preventive condition-based
maintenance of transport infrastructures
• improvement of the decision-making process regarding maintenance at network and object level
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171Digitalization as enabling technology
Best practices (example)
The real-time monitoring and analysis platform
for infrastructures
Potential use of data: improving understanding of
infrastructure condition and performance
Short-term: construction monitoring
Medium-term: pathologies monitoring
Long-term: patterns identification
Stray cable monitoring of the Centenario bridge in Seville (ES)
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171Digitalization as enabling technology
Data should be FAIR :
• Findable - think Internet/WWW
• Accessible - think identification/authentication/authorisation
• Interoperable - think standard data syntax (formats, direct access methods)
• Reusable - think standard data semantics (schemas, ontologies, OTLs)
FAIR approach delivers FutureProof / Scaleable / Sustainable solutions
Standardization domains & workflow from data acquisition till decision support in the context of inspection, monitoring, maintenance and safety of transport infrastructures
Co-funded by the Horizon 2020
Framework Programme of the European Union
H2020 Project IM-SAFE - 958171• Unprecedented technology advances can enable the change towards new data-informed and
risk-based approaches to safety control and maintenance decision-making for transport
infrastructure, supported by monitoring systems.
• There is a sufficient know-how across Europe and there is the common will to reach
consensus among the stakeholders
• Solid basis and recognized needs for new European standards in alignment with national
standards in monitoring, safety assessment and maintenance, and international standards in BIM
and digitalization
• CSA IM-SAFE contributes to political commitment and societal acceptance of the future
standards at European and national level, by supporting EC and CEN in preparing new
standards in monitoring for optimal maintenance and safety of transport infrastructure
www.IM-safe-project.eu
https://www.linkedin.com/company/im-safe-project/
Co-funded by the Horizon 2020
https://cordis.europa.eu/project/id/958171 Framework Programme of the European Union
H2020 Project IM-SAFE - 958171BMDV Workshop No. 8:
Harmonization and standardization of data and processes in the mobility sector
Data Governance and Standardization
for Vehicle Data PlatformsResearch Project STAPL (mFUND)
Content / Goals
Project Approach
Standardization and Harmonization
Challenges„Data Governance and Standardisation for Vehicle Data Platforms“ - STAPL
Content / Goals:
• Elaborating of Data Governance guidelines for a standardized vehicle data platform
• Further development and harmonization of Standardization in a European context
• Data Acquisition from different vehicle and engine types
• Deployment of AI tools for Data Analysis; validation based on exemplary use cases
Consortium: Other partners:
1. PSI Transcom GmbH (Berlin, DE) – Public Transport Software; Project Coordinator • VDV – Association of German
2. PSI FLS Fuzzy Logik & Neuro Systeme GmbH (Dortmund, DE) – AI Specialist Transport Operators
3. VEW Voyages Emile Weber S.à r.l. (Canach, LU) – Public Transport Operator • ITxPT (Information
Technology for Public
4. Capte B.V. (Amsterdam, NL) – Data Acquisition (Startup) Transport) – International
5. BDO Legal Rechtsanwaltsgesellschaft mbH (Hamburg, DE) – Data Governance non-profit Association
6. RVK Regionalverkehr Köln GmbH (Cologne, DE) – Public Transport OperatorProject Approach
− Design of a suitable reference architecture of
the data platform and its interfaces
− Implementation of a prototype / demonstrator
− Conducting a field test to validate the research
resultsMain Subjects
Data Governance Standardization
− Development and coordination of legally compliant − Determination of standardization requirements (in terms of
guidelines for data acquisition, data usage and data sharing content and technology)
− Consideration of the legitimate interests of all stakeholders − Comparison with existing standardization approaches
− Protection of any personal data that may arise − Participation in standardization activities at national and
European level
Data Acquisition Data Analysis
− Hardware and software extensions of vehicle data logger − Development of a suitable system architecture for databases
− Selection and pre-filtering of the data ("data broker") in the and internal interfaces
vehicle − Selection of suitable methods for analysis tools
− Efficient and secure transmission methods − Application of Artificial Intelligence (AI) methods
− Implementation of standards − optimal provision of the processed data for third-party systemsAreas of Standardization
The STAPL research project deals with Sensor and Diagnostic Data from Public Transport Vehicles
(especially buses).
Designation
What data is provided ? Description Content
Definition
Syntax + Semantics
How is the data provided/transferred ? Transmission channels; Interfaces Technology
Access type and methodsStandardisation Approaches for Sensor- and Diagnostic Data from Public Transport Vehicles Germany: „Minimal Dataset“ for research programs of e-mobility incomplete Recommendation VDV-238 (“Fahrzeugdatensatz”) in preparation EU/Global: Network Protocol SAE J1939 internal (Bus-)FMS: Fleet Management Systems interface incomplete ITxPT TiGR (Telediagnostic for Intelligent Garage in Real-time) to be extended
Current Standardization Activities of VDV and ITxPT
(particularly triggered by the data requirements of low-emission/zero-emission vehicles)
“CAN data requirement list" with approx. 140 vehicle data, „EV data list“: ITxPT requirements list + part of VDV list +
coordinated with PTO’s contributions from ITxPT members
− Selected values from FMS 4.0, "FMS+", electromobility data − V1 : 268 data in 8 data categories
set and Telltales as a basis − final V2: 53 data outside of FMS standard 4.0, “Key Priority”
− Mapping with CAN J1939 frames Mapping of all data
− Data should be delivered directly from the vehicle (via CAN- − with the functional requirements from the Requirements
Gateway, SAE J1939 protocol), not via the vehicle Committee
manufacturer's backoffice systems − with use cases and categories (operation, maintenance, safety)
− with CAN J1939 to identify existing standard CAN frames
− Full compliance between “VDV-CAN data requierement list”
and ITxPT "EV Data List" is sought in subsequent versions
VDV-238 Recommendation (new) ITxPT TiGR Protocol (to be extended)Project Challenges Clarification of the Legal Framework − Definition of data ownership and usage rights − Facilitate cross-user data evaluation Cooperation between the Standardisation Bodies − Avoiding different standards that can be applied in parallel − Europe-wide / worldwide harmonization required Ensuring Data Quality − Definition of granularity, confidence interval, refresh rate, etc. − The data quality should be standardised, or at least known Raw Data vs. Processed Data − Differentiation of raw data and processed data − Which data should already be aggregated in the vehicle? Definitions for processed data − Definition of the initial data and calculation algorithms − Ensuring comparability between different data sources
Research Project STAPL (mFUND) Project Status: − Project started on 1 January 2022 − 1. Project meeting held on 5 April in Canach / LU − Kickoff Meeting with BMDV held on 6 April as web conference − Please visit our STAPL website https://stapl-mfund.de/ Next steps: − Finalise system conception and interface specifications − Continuation of standardization activities with VDV and ITxPT − Presence at the IT-Trans 2022 in Karlsruhe
Timeline/Milestones
System Design and Implementation
Field Test / Demonstrator
WP 1: Organisation
WP 2: Technology / Software / IT Operations
WP 3: Standardisation
WP 4: Data Acquisition
WP 5: Data Analysis / AI-Tools
WP 6: Use Cases / Field Test
WP 7.1: Data Governance WP 7.2: Community
M2 M1 M3 M4 M5 M6 AI-Tools
Implementation of the data platform
Installation of data loggers
Interface specifications / Reference architecture
Technical system conception
Standardisation requirements
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun
2022 2023 2024The National Access Point Coordination Organisation for Europe Timo Hoffmann NAPCORE General Secretary Bundesanstalt für Straßenwesen (BASt) 27 April 2022
NAPCORE – Overview Video
NAPCORE: Pan-European Coverage ● 33 Partners ● 37 Implementing Bodies ● 3 Associated Partners Covering: ● (All) Member States (Ministries) and National Road Authorities ● (National) Road Operators ● International Organisations Co-funded by: ● European Commission (DG MOVE) as Programme Support Action under CEF
NAPCORE Goals NAPCORE is a project to coordinate the National Access Points (NAPs) and National Bodies (NBs) established under the ITS Directive. Its goals are to 1. facilitate EU wide coordination of NAPs and NBs for the harmonisation of the implementation of the European specifications on the ITS Directive 2. increase interoperability by (further) establishing standards and recommendations for data exchange formats, content, access and data availability in the mobility domain in Europe 3. empower the NAPs as the backbone for ITS digital infrastructure and mobility data exchange in Europe 4. address existing and upcoming developments and challenges with a joint European strategy, vision and voice.
NAPCORE Core Standards
EU Regulations under the ITS Directive
- Comission Delegated Regulation (EU) 2013/886 – SRTI
- Comission Delegated Regulation (EU) 2013/885 – Safe Truck Parking
Transmodel/NeTEx - Comission Delegated Regulation (EU) 2015/962 – RTTI
The Transmodel standard provides a
A - Comission Delegated Regulation (EU) 2017/1926 – MMTIS
framework for defining and agreeing data
models, and covers the whole area of public
A
transport operations.
B TN-ITS
C changes in static road
DATEX II
attributes
exchange of road traffic B
information and traffic dataGovernance and Working Structure
Advisory BoardNAPCORE Coordination and Harmonisation Strategy ● NAPCORE coordinates all NAPs in Europe on an organisational level ● Wherever possible, through NAPCORE, NAPs and NBs throughout Europe will ● jointly work on and establish common recommendations on data exchange technology, standards, formats, processes used at the NAPs ● via improvements of interoperability facilitate common data discoverability and accessibility, thus enabling pan-European services ● define common strategies concerning existing and upcoming developments, creating “one voice” of the NAPs in Europe
Stay informed ● LinkedIn Group: https://www.linkedin.com/groups/12432452/ ● Website: http://napcore.eu/ ● YouTube Channel: https://youtu.be/dgV3eEB50lk ● E-Mail: napcore@bast.de
4.screen
Smart City Partnerships
We help to empower smart
cities using connected
vehicle data.
4.screen GmbH
www.4screen.com
moritz.henninger@4screen.co
m4.screen Smart City
Partnerships
Innovative tech 5 of the 40+ major
Via the 4.screen portal, cities and businesses start-up largest car brands as
can communicate with drivers in real time through OEMs as partners
Startup from Munich, partners
the vehicle display, depending on their location. with proprietary Shell, APCOA, among
vehicle data. others;
Over 3 million cars
over 100,000
Smart cities can alert drivers to locations & in Germany.
locations in Germany.
events in the city with the help of live
displays. In addition, relevant information
regarding location planning can be analyzed by
evaluating over 200 data points per car. This
helps the cities to optimize the utilization of
their mobility infrastructure.
We enable the cities to communicate directly with Marketing Location Utilization
their drivers and offer exclusive pilot projects planning optimization
to control & optimize their infrastructure Reaching drivers with Identify the best Optimize the
regarding charging, parking and shopping. promotions to draw locations for utilization of
attention to promoted parking, charging parking spaces,
destinations. stations, and charging stations and
Through our API platform, the integration effort shopping. in real time.
as well as the associated costs are minimal.4.screen enables Smart Cities to
communicate with drivers and analyze
Targeted promotions in vehicle
vehicle data and mobility patterns across screens
car manufacturers. How can cities reach drivers and draw attention to
specific events or destinations?
How can cities help to promote their proudest institutions
and most famous sights?
City planning / traffic design
Where exactly do drivers look for charging stations,
parking spaces, shopping opportunities and where exactly
do vehicle sensors strike out?
Where do locations of parking spaces, charging stations,
and shopping opportunities make the most sense?
Utilization analysis and
optimization
How high is the utilization of mobility infrastructure?
How can driver flows be distributed to an optimal
utilization of the mobility infrastructure through real-
time nudges?
How can cities identify and minimize mismatches between
infrastructure offerings and infrastructure demand?Cities can easily communicate with drivers in
real time via our web portal
Branded
P I N Pin
4 . S C R E E N P O R TAL
IN-CAR OFFERTargeted promotions in vehicle screens
Pin on Map Recommendation Search In-Car Offer
Car: "Hey driver, do Driver receives In-Car
Driver discovers a Driver searches,
you want me to guide offer: "Secure Coldplay
promoted city event "Show me a parking
you to the next concert tickets in
on the map! garage nearby!"
charging station?" Munich now!"Display sample – Branded Pin
16 °C
Navigation
11:38
Pin
Create
awareness for
brand,
locations, and
offerings
among riders
in the area.
www.4screen.comDisplay sample - Search
16 °C
Navigation
11:38
Parking
Search
Operngarage
Max-Joseph-Platz 4, 1.0
Address drivers 80539 München km
in the search City-Parkhaus
Färbergraben 5, 1,5
process and 80331 München km
reach them with Pschorr Garage
Altheimer Eck 16,
1 km
offers. 80331 München
Salvator Garage
Salvatorplatz 3,
80333 München 1 km
www.4screen.comDisplay sample - Recommendation
16 °C
Navigation
11:38
Recommendat
ion
Recommend
locations that 40 km Low battery
address the Remaining range: 40 km
needs of the
driver SWM Charging Station
Pfarrstraße 3, 80538 München 1.0 km
10% Discount for a ticket
to the Deutsche Museum
Start navigation
www.4screen.comDisplay sample – In-car-offer
16 °C
Navigation
11:38
In-car
offer
Attention-
grabbing
display for
Munich Tickets –
current offers Coldplay 2022
based on Scan the QR code and
secure yourself
location or tickets to see
Coldplay on the 23th
region of August 2022
Munich
Olympiastadion
23.08.2022
www.4screen.com4.screen evaluates over 200 data points per
vehicle and enables attractive smart city use
cases
Vehicle sensors Use Cases for Smart Cities
Access to over 200 vehicle sensors, among
• Better coverage & optimized utilization of
others:
charging infrastructure
• Precise location of searches for charging
• Better coverage & optimized utilization of
stations, parking spaces, shopping
parking facilities
facilities, etc.
• Better integration of car and public
• Level of battery or gas tank
transport offers (multimodal offers with
• Vehicle & driver profile (demographics; handover from parking garage to public
vacationers vs. commuters) transport)
• Promotion of offers from the cities to car
drivers (commuters & vacationers)4.screen provides both analytics and recommendations
for traffic optimization and city planning
Driver location search City planning & optimization
Problem: Inefficiency in the use & control of
• Distribution of charging stations based on
parking spaces, charging stations as well as
our driver search location data to
shopping facilities in the city center.
efficiently serve location-based demand.
• When are which parking spaces (un)utilized?
Question: Where & when are drivers searching Better manage parking utilization by
for… advertising parking garages.
• …charging stations? • Positioning of stores based on search load.
• …parking spots? Promotion of stores when most drivers are
searching for them.
• …shopping locations?4.screen helps cities to promote multimodal hand-
overs, reducing traffic congestion and freeing up
space
Multimodal Hand-over
Problem: Lack of public transport options and infrequent connections in outer city areas and
suburbs. Residents need to rely on their car to get downtown. They usually don´t switch modes
of transportation, even as public transport service offerings improve with increasing proximity
to the city center. Lots of available parking spaces on the outskirts of the city center but
only a few directly inside the city center.
Solution: 4.screen helps cities to promote multimodal hand-overs, recommending drivers nearby
parking spaces and alternative means of transportation to continue their onward journey. A
driver may leave his car in a parking garage, enter the subway next-door, ride three stops
towards the city center and take a scouter for the last meters. All bookable within the in-car
display.WE B U I L D T E C H N O L O G Y T O C R E A T E T R U L Y
CONNECTED CARS
www.4screen.com
moritz.henninger@4screen.comYou can also read
